As an academic
project I developed a multi-agent platform using netlogo script programming to simulate and modeling the effort and profit exerted by heterogeneous agents in an organization.
The platform
consists in a user interface with the parameters as follows:
-
-10
sets of agents, each on with a different behavior, we can choose how many
agents for each type of agent:
o
null
effort: this agent always exerts the same almost null effort
o
shrinking
effort: this agent halves the effort provided by its last partner
o
replicator:
this agent exerts the same effort its last partner exerted in the previous
interaction
o
rational:
this agent exerts the best reply for its last partner effort
o
profit
comparator: this agent compares its profit to its last partner's one; it increases
its effort if it gave a higher profit
o
high
effort: this agent always exerts the same high effort
o
average
rational: this agent exerts the best reply to the average effort of its
partners
o
winner
imitator: this agent starts with high effort but copies its partner's effort
when this one proves to yield a higher profit
o
effort
comparator: this agent compares its effort to its last partner's one; it
increases its effort if it is inferior to its partner's one and vice versa
o
averager:
it averages its effort with its last partner's effort
-
-A
noise percentage at the moment of the communication between the agents.
The system
reaches to find the Nash equilibrium in the society, in a way that each agent maximize
his effort without minimize his profit.
Paris - France, September
2012
